Thread and Data Mapping for Multicore Systems (eBook)
IX, 54 Seiten
Springer International Publishing (Verlag)
978-3-319-91074-1 (ISBN)
Eduardo Henrique Molina da Cruz graduated, with honors, in Computer Science in the State University of Maringá (UEM) in 2009. He received his master's degree from the Postgraduate Program in Computing in the Informatics Institute of the Federal University of Rio Grande do Sul (UFRGS) in 2012. In 2016, he received his Ph.D., with honors, also by the Postgraduate Program in Computing at the Informatics Institute of the Federal University of Rio Grande do Sul (UFRGS). After the Ph.D., he worked as a postdoctoral researcher at the Federal University of Rio Grande do Sul (UFRGS). His research comprises the areas of computer architecture, operating systems and parallel and distributed processing. It focuses on optimizing the memory access in multicore and manycore architectures, as well as architectures with non-uniform access to memory (NUMA). Currently, he is a professor at Federal Institute of Parana (IFPR).
Matthias Diener received his PhD degree in Computer Science from the Federal University of Rio Grande do Sul (UFRGS) and the TU Berlin in 2015. He is currently a postdoctoral researcher at the University of Illinois at Urbana-Champaign. His work focuses on adapting parallel applications to the hardware they are running on, through improving data locality, load balancing, and support for heterogeneous systems.
Philippe O. A. Navaux graduated in electronic engineering from UFRGS in 1970, and received the masters degree in applied physics from UFRGS in 1973 and the Ph.D. degree in computer science from INPG, France in 1979. He is a professor at UFRGS since 1973. He is the head of the Parallel and Distributed Processing Group at UFRGS and a consultant to various national and international funding agencies such as DoE (US), ANR (FR), CNPq, and CAPES (BR).
Eduardo Henrique Molina da Cruz graduated, with honors, in Computer Science in the State University of Maringá (UEM) in 2009. He received his master's degree from the Postgraduate Program in Computing in the Informatics Institute of the Federal University of Rio Grande do Sul (UFRGS) in 2012. In 2016, he received his Ph.D., with honors, also by the Postgraduate Program in Computing at the Informatics Institute of the Federal University of Rio Grande do Sul (UFRGS). After the Ph.D., he worked as a postdoctoral researcher at the Federal University of Rio Grande do Sul (UFRGS). His research comprises the areas of computer architecture, operating systems and parallel and distributed processing. It focuses on optimizing the memory access in multicore and manycore architectures, as well as architectures with non-uniform access to memory (NUMA). Currently, he is a professor at Federal Institute of Parana (IFPR). Matthias Diener received his PhD degree in Computer Science from the Federal University of Rio Grande do Sul (UFRGS) and the TU Berlin in 2015. He is currently a postdoctoral researcher at the University of Illinois at Urbana-Champaign. His work focuses on adapting parallel applications to the hardware they are running on, through improving data locality, load balancing, and support for heterogeneous systems.Philippe O. A. Navaux graduated in electronic engineering from UFRGS in 1970, and received the masters degree in applied physics from UFRGS in 1973 and the Ph.D. degree in computer science from INPG, France in 1979. He is a professor at UFRGS since 1973. He is the head of the Parallel and Distributed Processing Group at UFRGS and a consultant to various national and international funding agencies such as DoE (US), ANR (FR), CNPq, and CAPES (BR).
preface.- chapter 1: introduction.- chapter 2: Sharing-aware mapping and parallel architectures.- chapter 3: Sharing-aware mapping and parallel applications.- chapter 4: Sharing-Aware mapping methods.- chapter 5: Improving performance with Sharing-Aware mapping.- chapter 6: conclusion and research prospects.- index.
| Erscheint lt. Verlag | 4.7.2018 |
|---|---|
| Reihe/Serie | SpringerBriefs in Computer Science | SpringerBriefs in Computer Science |
| Zusatzinfo | IX, 54 p. 34 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
| Informatik ► Weitere Themen ► Hardware | |
| Schlagworte | Cache Memory • data mapping • Data movement • Non-uniform memory access • Thread Mapping |
| ISBN-10 | 3-319-91074-4 / 3319910744 |
| ISBN-13 | 978-3-319-91074-1 / 9783319910741 |
| Haben Sie eine Frage zum Produkt? |
PDF (Wasserzeichen)Größe: 2,3 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
